Assistant Data Scientist - Proton Therapy Radiation Physics

UT MD Anderson Cancer Center; Town of Texas (WI); On-site; USD 69,000 - 103,000; Full time

Benefits offered by this job

Employer-paid medical coverage

PTO & Extended Illness Bank

Tuition Assistance Program

Pension plan

Job summary

The University of Texas MD Anderson Cancer Center is seeking an Assistant Data Scientist to advance proton therapy and radiation physics programs through software development, data analysis, and treatment-planning technologies.

Collaborating with multidisciplinary teams, you will contribute to dose computations, image processing, and scientific analyses while growing under supervision in a leading cancer research environment.

Qualifications

• Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
• Master’s degree in a related field preferred.

Responsibilities

• Assist in analyzing data-related problems, formalisms, algorithms, and software applications.
• Contribute to development of complex proton therapy algorithms under supervision.
• Support programming activities across multiple systems and environments.
• Participate in software implementation related to proton dose computations and treatment planning.
• Contribute to analysis and validation of computational methods and results.

Skills

Programming

Data analysis

Software development

Monte Carlo techniques

Image processing

Education

Bachelor's degree Biomedical Engineering/related fields

Master’s degree preferred

Tools

Monte Carlo techniques

Job description

The University of Texas MD Anderson Cancer Center is seeking an Assistant Data Scientist to advance proton therapy and radiation physics programs through software development, data analysis, and treatment-planning technologies.

Collaborating with multidisciplinary teams, you will contribute to dose computations, image processing, and scientific analyses while growing under supervision in a leading cancer research environment.